Transaction
ID: 06dd84d1ae...6884
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0088 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
9.73 ERG
Tokens:
Outputs (12)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
24.80
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
9.73 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 673,034
Total coins transferred: 9.74 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000253 ERG
Raw Transaction Data
{
"id": "06dd84d1ae82f9868c293c31995db04d728dcafe8ad275f293db67d424886884",
"blockId": "5f6476ce324fb430e24845b83f8b81593b2af5e4fa4fd8ee5ea4e041bb098442",
"inclusionHeight": 1088711,
"timestamp": 1694432761661,
"index": 4,
"globalIndex": 5811158,
"numConfirmations": 673034,
"inputs": [
{
"boxId": "9694bb5abe7cfb7d57c70239131c416d2ff4c88334b1c39358309aa59503d55a",
"value": 8800000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ed4d44a365059ba94fdc209b2ac1904d19dbec6dad2951687f7b2c7a37054c0c",
"outputTransactionId": "cbd4db88becc0e739cf6bec37f7f3c85add708df477f23cfb3d4eefe45b9974e",
"outputIndex": 0,
"outputGlobalIndex": 32475957,
"outputCreatedAt": 1087213,
"outputSettledAt": 1087216,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(-114,30,-46,70,96,13,44,-117,-112,95,56,-10,96,-39,72,0,108,-53,-91,-43,22,45,-64,37,-98,-83,-5,120,68,69,-3,-55)\n7: 1\n8: 0\n9: Coll(-28,-36,-91,-57,-77,94,-83,20,-26,86,-103,80,91,-35,101,-81,92,0,-78,36,-109,39,-32,-19,-101,-96,-30,-75,9,16,26,-126)\n10: 7200\n11: Coll(70,36,70,31,-62,-119,64,54,-23,-68,80,103,-65,-15,-28,103,-108,42,-46,-17,42,-11,33,-114,-92,83,108,-75,23,-64,14,43)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (((Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "BRNzuPCshtnBeoxCJ8iQiVbfd6yZNTf3KfxSfpsfDeC18pKRVoNNgDUo91X8TQRdLcnRwFHCU7doEUu4vciu5sfQbKyyd5FQD2x4X24eJFyR52vTtE4sVP46utpskdbwB9C3By3ueXBuDF6gmT6o83tN5b9wPjXtdpJowqgu2ZLDruYsqEdrPgGLsE1rfvBJM2NCYH9Gcp2UvJSGMiCu1p4XiLg1HpFhvcUz4wFwYFPBdUwoZVjERf6VVHv2hWzybdfxLBSEBPGys9xLPX4ck8Ms2LgBdX9GsAiXDnmrJ4A1NHqbJUZzUBfHEBUUUR94nJCoGfyAaFvDBafbouRuxe1MkArntvv6j6CQYe436e4hfZmrnC8aHGUaMvXQjtCwp4sF3yXe6c7Gf8GKw9LT1Tsk6AbMy4nP1X8jmaztJJhc8f7yopXSPEGM7JyNBNHyvp",
"assets": [
{
"tokenId": "3825b2b4acaaaba626440113153246c65ddb2e9df406c4a56418b5842c9f839a",
"index": 0,
"amount": 80000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5589db926e6760d840c919948169a559abcab58ef0d2100126e48f9d2ef12320,2228e54299db6c13479c6ced3705df36f2ed0e4e815ed7536ba99be14a13179d,aba9cf9df2a03cc07c1adc7515d4d70346c93bd7a250525536a90008f73d289d,995ca29a94c2290c7648b56e4a84dafda75765c6e793c5cdcd4fba55ff261e9f,fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01,e61a83c5bca59e98c21d925faff5dfc079aa438f21df08702e4c4bf2bada02dc,3d36709eb83dc46cc60298ab183a1e4ab1d85363337b951b9494dc1ab1418eb1,90829fb915dba5c834d14b0e1e1387f6c2e4760965b8cd338892e4ad13baab3d]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30346265653062376532666262313337303665646330343537666438643366393432396464303338633736356538363664363264623737316361373462613038,6572676f,63617264616e6f,396763724b6e374c354c6e337252736a466f53456b45736f76556462354a523564366f327648515635464358584e6b6b454144,616464723171396e77676c6c6c74376a3030796634307776656163327467746d787879377930366e74757273366c3833776e39673337646a6c6e7a35686d6d6d6b78656e786c386d77716c366839366775377a74706867786a66306e67776866717761646d3764,0000000000062401,000000000003c8c0,00000000000186a0,66666163623736653563373562646337323331343737376537383162393337376135346639333635343838306434333930663761363761393239313030383938,61737365743138776137327a6d6833356777756e72797130796e6171727236366465636b6c3939797237396b,33306366343230663964626665636262663661343766383434333933373836623864626566666534636365373764373633326261333138373430383030656533,00000000001096e4]"
},
"R6": {
"serializedValue": "0e20aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07",
"sigmaType": "Coll[SByte]",
"renderedValue": "aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07"
}
}
},
{
"boxId": "de9b0791776919041b27a2a70f7d7632ce8888487ba441b12ba2bf45f8028afd",
"value": 9727784996,
"index": 1,
"spendingProof": "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",
"outputBlockId": "4aab9c0190dbffe7f22b36ac84665fd0f49ab1cfdfa8091ab04e2ddfae828093",
"outputTransactionId": "23874091f02c85ef04b52dd8439e85c42f8b83a292d5c0b739d89a3405a968a3",
"outputIndex": 10,
"outputGlobalIndex": 32525900,
"outputCreatedAt": 1088653,
"outputSettledAt": 1088657,
"ergoTree": "100304000e20793d6c566f238cd234176f7007b1e50c2e5ae4367b668351451ec6c9e9e97ca90400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(121,61,108,86,111,35,-116,-46,52,23,111,112,7,-79,-27,12,46,90,-28,54,123,102,-125,81,69,30,-58,-55,-23,-23,124,-87)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3JzpCPns7SoypaDJTg4KbG6UQBPknQuM3WZ4ZhPj3TGV5R5YArit7trzUum77qJ76JLLiJfW3Au8o3AvMh1suY2rcRm1UPfroUiTZfQrNL8izs6CBJYwMLf5jDSt3YwcFEPVYG",
"assets": [
{
"tokenId": "6cbeec04af6a5047d8818eac2ac6e2b28e1e74a0d339cff96f7641a1a0c3ca9b",
"index": 0,
"amount": 8333333268957890,
"name": "rptWAdaV1",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "ffacb76e5c75bdc72314777e781b9377a54f93654880d4390f7a67a929100898",
"index": 1,
"amount": 1666664059878,
"name": "rptNEV1",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 2,
"amount": 6026655937,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "0ee806d6547c396946f05cb93b33d3d3648f8e9817b9f2088fdb178392f85539",
"index": 3,
"amount": 24769000000,
"name": "rptWNCV1",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "40658a0945488e6820bef8916f2df40715716f471b1441f6b86f2c4e82d8a1c9",
"value": 1100000,
"index": 0,
"outputBlockId": "69521f157cd78e9962e7aa077cf973c2ce33dd534bec84ce35c7e6f092763519",
"outputTransactionId": "c85647df07f4ea14bf4635b1650c6c313366b6ca22a28212a30f82ed658d067c",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0329c11a8c915014f7f538f9af5005bda5c92c01045fa2fe204a566f465c85ca42,0210b79b76d47d2f7bed850b2632b31b0a36b1f41d578ab323a315f177201c42de,022c2e132c2d3065d904830122d5dcc9ad3435f58392647d8886cb76ca6bedfe30,0224def9adbb89ec4963c256f48ab594cd7ea4efe465cdaf1a96bd004a2af81062,02bbcccfad6962e01d94d2155e58798bd5d452a7be3573c644b2c75efdfe30f347,02c12daa0e0290c493012758031af979d222440c66636751a3e50b6118ab70404d,03b0a147903e493896822e99ddd7f4ab64792a3e0c7f064e8292e6add1f3c6117e,03372fe8c849c66847dfcaee0263bdd9f212bd1e27b2b6388789ad283c93cc6c86,0242f6c85295030adc35e014ac85447ab29c771bf1c80f23c2ff465356b412d565,0367a8b3ccc55d368ff2601c41c1dfb642254399d7d2e3f8aae4ea440b0e7f0050]"
},
"R5": {
"serializedValue": "10020e10",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,8]"
}
}
}
],
"outputs": [
{
"boxId": "45b3dd0ca2e51529e39ea7924d54d4aa8fab326664dd2f3c860bf2bbd0101979",
"transactionId": "06dd84d1ae82f9868c293c31995db04d728dcafe8ad275f293db67d424886884",
"blockId": "5f6476ce324fb430e24845b83f8b81593b2af5e4fa4fd8ee5ea4e041bb098442",
"value": 1100000,
"index": 0,
"globalIndex": 32527309,
"creationHeight": 1088704,
"settlementHeight": 1088711,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"index": 0,
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"name": "rptconfErgoRWTV1",
"decimals": 0,
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"sigmaType": "Coll[Coll[SByte]]",
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"index": 1,
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"creationHeight": 1088704,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2228e54299db6c13479c6ced3705df36f2ed0e4e815ed7536ba99be14a13179d]"
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"mainChain": true
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"value": 1100000,
"index": 2,
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"creationHeight": 1088704,
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"ergoTree": "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",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
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"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[aba9cf9df2a03cc07c1adc7515d4d70346c93bd7a250525536a90008f73d289d]"
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"mainChain": true
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{
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"index": 3,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "FxMs5S8B9DA3Ecw7taWSSRefYESRzAmeznhb9sdp7KR2ZCe9NMzHj4PRWLimyFLvAv2nD3QtmPneFoWjVqJsgSMjV5wijdkz14a5WogmvKSbUe4WjVWuW7GLEnSnMaVZ56cdLk53pzZ7exKc5hhiAjeFJDzjjm1Dqt1RoEWgkUJuaW6Mm9FMiJhq9WYJVVEDzpkL6VYhrYWMLG3J5tB1ji7aTwTGmaCapEtRo7RCmMMMYhBssBxY4putUJxHV4RsD6k9pYMuz2jrsSRWZrUbtTLkhiifSpPCEmHNrPJiSFQSVDWr3gfqmPgkJxbxTGyz7vexUCcLqGHxMaBGsPoaSod9GNqo62Gik8eRUjr8zkuYU6tD9hfPUHCzEr6xyGbrGtrmczigHmD8a1HXh1DKu4xt8eMGws5CCgq6cFZpssQEakHtPnD3kTmsKNjM6KpnReWguNxqYERZYLhfGqTZ4vNFEmj88qTJWUzVu65DbpcGu6vzpZ93BfJ7KA7a1v",
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"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[995ca29a94c2290c7648b56e4a84dafda75765c6e793c5cdcd4fba55ff261e9f]"
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"mainChain": true
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{
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"value": 1100000,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"name": "rptconfErgoRWTV1",
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"sigmaType": "Coll[Coll[SByte]]",
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"index": 5,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e61a83c5bca59e98c21d925faff5dfc079aa438f21df08702e4c4bf2bada02dc]"
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"index": 6,
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"creationHeight": 1088704,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3d36709eb83dc46cc60298ab183a1e4ab1d85363337b951b9494dc1ab1418eb1]"
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"index": 0,
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"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[90829fb915dba5c834d14b0e1e1387f6c2e4760965b8cd338892e4ad13baab3d]"
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(83729b,96d228,...)))}",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
}
},
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},
{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4e4e18,4c59d4,...)))}",
"address": "9f7YiJRETT14PzywFSWyHwzFstMhcpqAozVffewuQ4Mus6X7AFU",
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{
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"index": 0,
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"name": "rptNEV1",
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}
],
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{
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"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
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{
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"decimals": 6,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1666663711878,
"name": "rptNEV1",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 2,
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"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
},
{
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"type": "EIP-004"
}
],
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"mainChain": true
},
{
"boxId": "63699b1e3c6b4ea08c17461356fe1c208de57093c20d68107f8df37b0e486465",
"transactionId": "06dd84d1ae82f9868c293c31995db04d728dcafe8ad275f293db67d424886884",
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"index": 11,
"globalIndex": 32527320,
"creationHeight": 1088704,
"settlementHeight": 1088711,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
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"additionalRegisters": {},
"spentTransactionId": "91ff236cba32bd4f29708b1d0a7f4225c59f26d756a7dade6b1d3068e5bba145",
"mainChain": true
}
],
"size": 4350,
"isUnconfirmed": false
}